Prediction of disease progression in patients with COVID-19 by artificial intelligence assisted lesion quantification
Abstract To investigate the value of artificial intelligence (AI) assisted quantification on initial chest CT for prediction of disease progression and clinical outcome in patients with coronavirus disease 2019 (COVID-19). Patients with confirmed COVID-19 infection and initially of non-severe type w...
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Autores principales: | Yuehua Li, Kai Shang, Wei Bian, Li He, Ying Fan, Tao Ren, Jiayin Zhang |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
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Materias: | |
Acceso en línea: | https://doaj.org/article/76cf112cbaf740a580a00ea66995c052 |
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